What is SAS® Scoring Accelerator for Teradata?
SAS Scoring Accelerator for Teradata translates and registers SAS Enterprise Miner models into Teradata-specific functions that can be executed for scoring purposes directly within the Teradata environment. SAS Scoring Accelerator for Teradata is a separate product that works in conjunction with SAS Enterprise Miner.
Why is SAS® Scoring Accelerator for Teradata important?
SAS Scoring Accelerator for Teradata enhances the performance of model scoring and processes more analytic models faster. Better performing models help to ensure the accuracy of the analytic results you're using to make critical business decisions.
For whom is SAS® Scoring Accelerator for Teradata?
SAS Scoring Accelerator for Teradata is specifically for organizations that use SAS Enterprise Miner and have a Teradata database. It is designed for data miners, marketing analysts, risk analysts, fraud investigators, engineers and scientists who play a major role in solving critical business or research issues.
Achieve higher performance run times and faster analytical development and processing.
Improve the discovery and use of critical business information throughout the enterprise.
Reduce data movement and network overhead.
Use decision support infrastructure resources more efficiently.
Increase the productivity of your business analysts with a solution that will allow them to focus more on business issues rather than the mechanics of transforming and scoring data.
Functions as a plug-in to SAS Enterprise Miner that exports the model scoring logic including metadata about the required input and output variables.
Automatically translates and publishes the model into C source code for creating the scoring function in Teradata.
Generates a script of Teradata commands for registering the scoring User Defined Function (UDF) in Teradata. Scoring UDFs are available to use in any SQL expression wherever Teradata built-in functions are typically used.
Supports a robust class of SAS Enterprise Miner predictive and descriptive models including the preliminary transformation layer.
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